code: def test_load_hubconf(self):
      def test_load_mvit_(model_name, pretrained):
          path = os.path.join(
              os.path.dirname(os.path.realpath(__file__)),
              "..",
          )
          model = torch.hub.load(
              repo_or_dir=path,
              source="local",
              model=model_name,
              pretrained=pretrained,
          )
          self.assertIsNotNone(model)
  
      models = [
          "mvit_base_16x4",
          "mvit_base_16",
          "mvit_base_32x3",
      ]
      pretrains = [False, False, False]
  
      for model_name, pretrain in zip(models, pretrains):
          test_load_mvit_(model_name, pretrain)
  
file_path: pytorchvideo/tests/test_models_hub_vision_transformers.py
imports: import os
  import unittest
  import torch
  import torch.nn
  from pytorchvideo.models.hub.utils import hub_model_builder
label_desc: Use image node_id 2 for calling the TestHubVisionTransformers obj's underlying member method code with example usage: obj.test_load_hubconf() without return types